GoLearn VS gago

Compare GoLearn vs gago and see what are their differences.

GoLearn

Machine Learning for Go (by sjwhitworth)

gago

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) (by MaxHalford)
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GoLearn gago
3 1
9,155 869
- -
0.0 0.0
3 months ago about 1 year ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GoLearn

Posts with mentions or reviews of GoLearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

gago

Posts with mentions or reviews of gago. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing GoLearn and gago you can also consider the following projects:

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

go-galib - Genetic Algorithms library written in Go / golang

sklearn - bits of sklearn ported to Go #golang

goga - Golang Genetic Algorithm

goml - On-line Machine Learning in Go (and so much more)

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

regommend - Recommendation engine for Go

randomforest - Random Forest implementation in golang

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies